Profiling Report

Dataset statistics

Number of variables	17
Number of observations	13840
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.6 MiB
Average record size in memory	577.8 B

Variable types

Numeric	9
Categorical	4
Boolean	4

Alerts

`Height` is highly overall correlated with `Gender`	High correlation
`Weight` is highly overall correlated with `Gender` and 1 other fields	High correlation
`Gender` is highly overall correlated with `Height` and 1 other fields	High correlation
`family_history_with_overweight` is highly overall correlated with `Weight`	High correlation
`FAVC` is highly imbalanced (56.1%)	Imbalance
`CAEC` is highly imbalanced (60.8%)	Imbalance
`SMOKE` is highly imbalanced (90.0%)	Imbalance
`SCC` is highly imbalanced (78.8%)	Imbalance
`CALC` is highly imbalanced (51.1%)	Imbalance
`MTRANS` is highly imbalanced (64.0%)	Imbalance
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`FAF` has 3434 (24.8%) zeros	Zeros
`TUE` has 4488 (32.4%) zeros	Zeros

Reproduction

Analysis started	2024-06-04 21:09:26.234122
Analysis finished	2024-06-04 21:09:50.408375
Duration	24.17 seconds
Software version	ydata-profiling vv4.6.0
Download configuration	config.json

id
Real number (ℝ)

UNIFORM UNIQUE

Distinct	13840
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27677.5

Minimum	20758
Maximum	34597
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	20758
5-th percentile	21449.95
Q1	24217.75
median	27677.5
Q3	31137.25
95-th percentile	33905.05
Maximum	34597
Range	13839
Interquartile range (IQR)	6919.5

Descriptive statistics

Standard deviation	3995.4082
Coefficient of variation (CV)	0.14435582
Kurtosis	-1.2
Mean	27677.5
Median Absolute Deviation (MAD)	3460
Skewness	0
Sum	3.830566 × 10⁸
Variance	15963287
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20758	1	< 0.1%
29989	1	< 0.1%
29978	1	< 0.1%
29979	1	< 0.1%
29980	1	< 0.1%
29981	1	< 0.1%
29982	1	< 0.1%
29983	1	< 0.1%
29984	1	< 0.1%
29985	1	< 0.1%
Other values (13830)	13830	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20758	1	< 0.1%
20759	1	< 0.1%
20760	1	< 0.1%
20761	1	< 0.1%
20762	1	< 0.1%
20763	1	< 0.1%
20764	1	< 0.1%
20765	1	< 0.1%
20766	1	< 0.1%
20767	1	< 0.1%

Value	Count	Frequency (%)
34597	1	< 0.1%
34596	1	< 0.1%
34595	1	< 0.1%
34594	1	< 0.1%
34593	1	< 0.1%
34592	1	< 0.1%
34591	1	< 0.1%
34590	1	< 0.1%
34589	1	< 0.1%
34588	1	< 0.1%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	838.2 KiB

Female	6965
Male	6875

Length

Max length	6
Median length	6
Mean length	5.0065029
Min length	4

Characters and Unicode

Total characters	69290
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Female
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	6965	50.3%
Male	6875	49.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	6965	50.3%
male	6875	49.7%

Most occurring characters

Value	Count	Frequency (%)
e	20805	30.0%
a	13840	20.0%
l	13840	20.0%
F	6965	10.1%
m	6965	10.1%
M	6875	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55450	80.0%
Uppercase Letter	13840	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20805	37.5%
a	13840	25.0%
l	13840	25.0%
m	6965	12.6%

Uppercase Letter

Value	Count	Frequency (%)
F	6965	50.3%
M	6875	49.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	69290	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20805	30.0%
a	13840	20.0%
l	13840	20.0%
F	6965	10.1%
m	6965	10.1%
M	6875	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69290	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	20805	30.0%
a	13840	20.0%
l	13840	20.0%
F	6965	10.1%
m	6965	10.1%
M	6875	9.9%

Age
Real number (ℝ)

Distinct	1539
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.95274

Minimum	14
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	14
5-th percentile	18
Q1	20
median	22.906342
Q3	26
95-th percentile	37.063599
Maximum	61
Range	47
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.7998135
Coefficient of variation (CV)	0.2421357
Kurtosis	3.5403751
Mean	23.95274
Median Absolute Deviation (MAD)	3.093658
Skewness	1.5722379
Sum	331505.92
Variance	33.637837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	1320	9.5%
26	1257	9.1%
21	1073	7.8%
23	816	5.9%
19	579	4.2%
20	389	2.8%
22	339	2.4%
17	297	2.1%
33	135	1.0%
27	111	0.8%
Other values (1529)	7524	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	10	0.1%
15	1	< 0.1%
16	101	0.7%
16.093234	1	< 0.1%
16.129279	6	< 0.1%
16.172992	2	< 0.1%
16.184891	1	< 0.1%
16.198153	2	< 0.1%
16.240576	1	< 0.1%
16.270434	2	< 0.1%

Value	Count	Frequency (%)
61	2	< 0.1%
56	6	< 0.1%
55.24625	3	< 0.1%
55.137881	5	< 0.1%
55.022494	9	0.1%
55	20	0.1%
52	1	< 0.1%
47.7061	4	< 0.1%
47.283374	1	< 0.1%
47	1	< 0.1%

Height
Real number (ℝ)

HIGH CORRELATION

Distinct	1739
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.6989341

Minimum	1.45
Maximum	1.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	1.45
5-th percentile	1.5501186
Q1	1.631662
median	1.7
Q3	1.76071
95-th percentile	1.849425
Maximum	1.98
Range	0.53
Interquartile range (IQR)	0.129048

Descriptive statistics

Standard deviation	0.088760585
Coefficient of variation (CV)	0.052244867
Kurtosis	-0.53783252
Mean	1.6989341
Median Absolute Deviation (MAD)	0.066055
Skewness	0.064471766
Sum	23513.248
Variance	0.0078784415
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.7	847	6.1%
1.65	539	3.9%
1.75	445	3.2%
1.6	404	2.9%
1.8	309	2.2%
1.62	228	1.6%
1.63	179	1.3%
1.72	175	1.3%
1.56	169	1.2%
1.66	158	1.1%
Other values (1729)	10387	75.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.45	1	< 0.1%
1.456346	1	< 0.1%
1.48	2	< 0.1%
1.481682	2	< 0.1%
1.483284	3	< 0.1%
1.486484	1	< 0.1%
1.491441	1	< 0.1%
1.498561	1	< 0.1%
1.5	142	1.0%
1.501993	6	< 0.1%

Value	Count	Frequency (%)
1.98	2	< 0.1%
1.975663	1	< 0.1%
1.96	1	< 0.1%
1.947406	1	< 0.1%
1.942725	1	< 0.1%
1.931263	6	< 0.1%
1.930416	2	< 0.1%
1.93	14	0.1%
1.929387	1	< 0.1%
1.92	1	< 0.1%

Weight
Real number (ℝ)

HIGH CORRELATION

Distinct	1798
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.384504

Minimum	39
Maximum	165.05727
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	39
5-th percentile	49
Q1	65
median	83.952968
Q3	111.15781
95-th percentile	131.33942
Maximum	165.05727
Range	126.05727
Interquartile range (IQR)	46.157811

Descriptive statistics

Standard deviation	26.111819
Coefficient of variation (CV)	0.29881521
Kurtosis	-1.0127565
Mean	87.384504
Median Absolute Deviation (MAD)	22.952968
Skewness	0.086603552
Sum	1209401.5
Variance	681.82707
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	631	4.6%
75	426	3.1%
50	407	2.9%
60	324	2.3%
70	282	2.0%
65	247	1.8%
45	212	1.5%
82	191	1.4%
78	184	1.3%
42	171	1.2%
Other values (1788)	10765	77.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
39	2	< 0.1%
39.101805	2	< 0.1%
39.371523	4	< 0.1%
39.695295	2	< 0.1%
39.850137	3	< 0.1%
40	6	< 0.1%
40.202773	2	< 0.1%
40.333463	1	< 0.1%
40.343463	1	< 0.1%
40.821515	2	< 0.1%

Value	Count	Frequency (%)
165.057269	1	< 0.1%
160.935351	2	< 0.1%
160.639405	1	< 0.1%
155.872093	1	< 0.1%
155.242672	2	< 0.1%
154.618446	4	< 0.1%
153.959945	3	< 0.1%
153.149491	5	< 0.1%
152.720545	4	< 0.1%
152.567671	1	< 0.1%

family_history_with_overweight
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.6 KiB

True	11384
False	2456

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	11384	82.3%
False	2456	17.7%

FAVC
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.6 KiB

True	12583
False	1257

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	12583	90.9%
False	1257	9.1%

FCVC
Real number (ℝ)

Distinct	828
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4428979

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1.8507984
Q1	2
median	2.358087
Q3	3
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.53160644
Coefficient of variation (CV)	0.21761304
Kurtosis	-0.89468816
Mean	2.4428979
Median Absolute Deviation (MAD)	0.401951
Skewness	-0.34263777
Sum	33809.707
Variance	0.28260541
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	5173	37.4%
3	5043	36.4%
1	188	1.4%
2.9673	81	0.6%
2.766612	40	0.3%
2.938616	29	0.2%
2.57649	28	0.2%
2.722161	24	0.2%
2.5621	22	0.2%
2.9553	21	0.2%
Other values (818)	3191	23.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	188	1.4%
1.003566	6	< 0.1%
1.005578	3	< 0.1%
1.00876	5	< 0.1%
1.016254	2	< 0.1%
1.031149	14	0.1%
1.036159	3	< 0.1%
1.036414	5	< 0.1%
1.036613	1	< 0.1%
1.052699	7	0.1%

Value	Count	Frequency (%)
3	5043	36.4%
2.998441	2	< 0.1%
2.997951	5	< 0.1%
2.997524	3	< 0.1%
2.996717	5	< 0.1%
2.996186	5	< 0.1%
2.995599	3	< 0.1%
2.99448	6	< 0.1%
2.992329	2	< 0.1%
2.992205	9	0.1%

NCP
Real number (ℝ)

Distinct	649
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7506103

Minimum	1
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	3
95-th percentile	3.390143
Maximum	4
Range	3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.71092686
Coefficient of variation (CV)	0.2584615
Kurtosis	1.7007587
Mean	2.7506103
Median Absolute Deviation (MAD)	0
Skewness	-1.5381359
Sum	38068.446
Variance	0.505417
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	9745	70.4%
1	1351	9.8%
4	475	3.4%
1.894384	20	0.1%
2.992606	18	0.1%
2.993623	18	0.1%
2.806298	18	0.1%
2.993634	17	0.1%
1.971472	17	0.1%
2.911568	15	0.1%
Other values (639)	2146	15.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1351	9.8%
1.000283	12	0.1%
1.000414	2	< 0.1%
1.00061	5	< 0.1%
1.001383	9	0.1%
1.001542	5	< 0.1%
1.001633	2	< 0.1%
1.005391	1	< 0.1%
1.009426	1	< 0.1%
1.010319	7	0.1%

Value	Count	Frequency (%)
4	475	3.4%
3.999591	3	< 0.1%
3.998766	2	< 0.1%
3.998618	3	< 0.1%
3.995957	4	< 0.1%
3.995147	3	< 0.1%
3.994588	4	< 0.1%
3.990925	2	< 0.1%
3.98955	2	< 0.1%
3.989492	1	< 0.1%

CAEC
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	891.5 KiB

Sometimes	11689
Frequently	1617
Always	359
no	175

Length

Max length	10
Median length	9
Mean length	8.9505058
Min length	2

Characters and Unicode

Total characters	123875
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Sometimes
3rd row	Sometimes
4th row	Sometimes
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	11689	84.5%
Frequently	1617	11.7%
Always	359	2.6%
no	175	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	11689	84.5%
frequently	1617	11.7%
always	359	2.6%
no	175	1.3%

Most occurring characters

Value	Count	Frequency (%)
e	26612	21.5%
m	23378	18.9%
t	13306	10.7%
s	12048	9.7%
o	11864	9.6%
S	11689	9.4%
i	11689	9.4%
y	1976	1.6%
l	1976	1.6%
n	1792	1.4%
Other values (7)	7545	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	110210	89.0%
Uppercase Letter	13665	11.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	26612	24.1%
m	23378	21.2%
t	13306	12.1%
s	12048	10.9%
o	11864	10.8%
i	11689	10.6%
y	1976	1.8%
l	1976	1.8%
n	1792	1.6%
r	1617	1.5%
Other values (4)	3952	3.6%

Uppercase Letter

Value	Count	Frequency (%)
S	11689	85.5%
F	1617	11.8%
A	359	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	123875	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	26612	21.5%
m	23378	18.9%
t	13306	10.7%
s	12048	9.7%
o	11864	9.6%
S	11689	9.4%
i	11689	9.4%
y	1976	1.6%
l	1976	1.6%
n	1792	1.4%
Other values (7)	7545	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	123875	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	26612	21.5%
m	23378	18.9%
t	13306	10.7%
s	12048	9.7%
o	11864	9.6%
S	11689	9.4%
i	11689	9.4%
y	1976	1.6%
l	1976	1.6%
n	1792	1.4%
Other values (7)	7545	6.1%

SMOKE
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.6 KiB

False	13660
True	180

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	13660	98.7%
True	180	1.3%

CH2O
Real number (ℝ)

Distinct	1366
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.0320441

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1.771781
median	2
Q3	2.552388
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	0.780607

Descriptive statistics

Standard deviation	0.61122951
Coefficient of variation (CV)	0.3007954
Kurtosis	-0.75716675
Mean	2.0320441
Median Absolute Deviation (MAD)	0.4294355
Skewness	-0.19886755
Sum	28123.49
Variance	0.37360152
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	4306	31.1%
1	1852	13.4%
3	1130	8.2%
2.825629	52	0.4%
2.619517	49	0.4%
2.868167	37	0.3%
1.636326	37	0.3%
2.70485	35	0.3%
2.625537	34	0.2%
2.770125	31	0.2%
Other values (1356)	6277	45.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1852	13.4%
1.000463	1	< 0.1%
1.000536	4	< 0.1%
1.000544	10	0.1%
1.000695	1	< 0.1%
1.001995	4	< 0.1%
1.002292	2	< 0.1%
1.003063	5	< 0.1%
1.003563	6	< 0.1%
1.003636	1	< 0.1%

Value	Count	Frequency (%)
3	1130	8.2%
2.999495	2	< 0.1%
2.994515	1	< 0.1%
2.993623	1	< 0.1%
2.991671	6	< 0.1%
2.989389	2	< 0.1%
2.988771	5	< 0.1%
2.987718	2	< 0.1%
2.987406	2	< 0.1%
2.984323	1	< 0.1%

SCC
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.6 KiB

False	13376
True	464

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	13376	96.6%
True	464	3.4%

FAF
Real number (ℝ)

ZEROS

Distinct	1260
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.97453248

Minimum	0
Maximum	3
Zeros	3434
Zeros (%)	24.8%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.001086
median	1
Q3	1.571865
95-th percentile	2.595128
Maximum	3
Range	3
Interquartile range (IQR)	1.570779

Descriptive statistics

Standard deviation	0.84036111
Coefficient of variation (CV)	0.86232232
Kurtosis	-0.46562553
Mean	0.97453248
Median Absolute Deviation (MAD)	0.8791165
Skewness	0.5287328
Sum	13487.529
Variance	0.7062068
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3434	24.8%
1	2773	20.0%
2	1571	11.4%
3	561	4.1%
1.097905	45	0.3%
0.01586	30	0.2%
1.541072	27	0.2%
1.999836	24	0.2%
1.082236	22	0.2%
1.427037	20	0.1%
Other values (1250)	5333	38.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3434	24.8%
9.6 × 10^-5	2	< 0.1%
0.000272	10	0.1%
0.000454	3	< 0.1%
0.001015	10	0.1%
0.001086	4	< 0.1%
0.001272	6	< 0.1%
0.001297	7	0.1%
0.00203	5	< 0.1%
0.00342	4	< 0.1%

Value	Count	Frequency (%)
3	561	4.1%
2.999918	1	< 0.1%
2.973499	1	< 0.1%
2.971832	3	< 0.1%
2.939733	3	< 0.1%
2.936551	4	< 0.1%
2.931527	2	< 0.1%
2.892922	14	0.1%
2.891986	3	< 0.1%
2.89118	6	< 0.1%

TUE
Real number (ℝ)

ZEROS

Distinct	1172
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.61103302

Minimum	0
Maximum	2
Zeros	4488
Zeros (%)	32.4%
Negative	0
Negative (%)	0.0%
Memory size	108.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.552498
Q3	1
95-th percentile	2
Maximum	2
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.6080053
Coefficient of variation (CV)	0.99504492
Kurtosis	-0.40770736
Mean	0.61103302
Median Absolute Deviation (MAD)	0.454738
Skewness	0.69948648
Sum	8456.697
Variance	0.36967045
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4488	32.4%
1	2883	20.8%
2	800	5.8%
0.0026	54	0.4%
0.088236	42	0.3%
0.15171	38	0.3%
0.096576	36	0.3%
0.723154	36	0.3%
0.094213	32	0.2%
0.25115	31	0.2%
Other values (1162)	5400	39.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4488	32.4%
7.3 × 10^-5	3	< 0.1%
0.000355	1	< 0.1%
0.000436	4	< 0.1%
0.00133	9	0.1%
0.001337	1	< 0.1%
0.001518	7	0.1%
0.00158	1	< 0.1%
0.00159	4	< 0.1%
0.00164	9	0.1%

Value	Count	Frequency (%)
2	800	5.8%
1.99219	5	< 0.1%
1.990617	3	< 0.1%
1.983678	3	< 0.1%
1.980875	6	< 0.1%
1.978043	4	< 0.1%
1.976894	1	< 0.1%
1.972926	1	< 0.1%
1.97117	3	< 0.1%
1.969507	6	< 0.1%

CALC
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	868.5 KiB

Sometimes	9979
no	3513
Frequently	346
Always	2

Length

Max length	10
Median length	9
Mean length	7.2477601
Min length	2

Characters and Unicode

Total characters	100309
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Sometimes
3rd row	Sometimes
4th row	Sometimes
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	9979	72.1%
no	3513	25.4%
Frequently	346	2.5%
Always	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	9979	72.1%
no	3513	25.4%
frequently	346	2.5%
always	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	20650	20.6%
m	19958	19.9%
o	13492	13.5%
t	10325	10.3%
s	9981	10.0%
S	9979	9.9%
i	9979	9.9%
n	3859	3.8%
y	348	0.3%
l	348	0.3%
Other values (7)	1390	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	89982	89.7%
Uppercase Letter	10327	10.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20650	22.9%
m	19958	22.2%
o	13492	15.0%
t	10325	11.5%
s	9981	11.1%
i	9979	11.1%
n	3859	4.3%
y	348	0.4%
l	348	0.4%
u	346	0.4%
Other values (4)	696	0.8%

Uppercase Letter

Value	Count	Frequency (%)
S	9979	96.6%
F	346	3.4%
A	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100309	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20650	20.6%
m	19958	19.9%
o	13492	13.5%
t	10325	10.3%
s	9981	10.0%
S	9979	9.9%
i	9979	9.9%
n	3859	3.8%
y	348	0.3%
l	348	0.3%
Other values (7)	1390	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100309	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	20650	20.6%
m	19958	19.9%
o	13492	13.5%
t	10325	10.3%
s	9981	10.0%
S	9979	9.9%
i	9979	9.9%
n	3859	3.8%
y	348	0.3%
l	348	0.3%
Other values (7)	1390	1.4%

MTRANS
Categorical

IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Public_Transportation	11111
Automobile	2405
Walking	280
Bike	25
Motorbike	19

Length

Max length	21
Median length	21
Mean length	18.758092
Min length	4

Characters and Unicode

Total characters	259612
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public_Transportation
2nd row	Public_Transportation
3rd row	Public_Transportation
4th row	Public_Transportation
5th row	Public_Transportation

Common Values

Value	Count	Frequency (%)
Public_Transportation	11111	80.3%
Automobile	2405	17.4%
Walking	280	2.0%
Bike	25	0.2%
Motorbike	19	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
public_transportation	11111	80.3%
automobile	2405	17.4%
walking	280	2.0%
bike	25	0.2%
motorbike	19	0.1%

Most occurring characters

Value	Count	Frequency (%)
o	27070	10.4%
i	24951	9.6%
t	24646	9.5%
a	22502	8.7%
n	22502	8.7%
r	22241	8.6%
l	13796	5.3%
b	13535	5.2%
u	13516	5.2%
P	11111	4.3%
Other values (13)	63742	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	223550	86.1%
Uppercase Letter	24951	9.6%
Connector Punctuation	11111	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	27070	12.1%
i	24951	11.2%
t	24646	11.0%
a	22502	10.1%
n	22502	10.1%
r	22241	9.9%
l	13796	6.2%
b	13535	6.1%
u	13516	6.0%
p	11111	5.0%
Other values (6)	27680	12.4%

Uppercase Letter

Value	Count	Frequency (%)
P	11111	44.5%
T	11111	44.5%
A	2405	9.6%
W	280	1.1%
B	25	0.1%
M	19	0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	11111	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	248501	95.7%
Common	11111	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	27070	10.9%
i	24951	10.0%
t	24646	9.9%
a	22502	9.1%
n	22502	9.1%
r	22241	9.0%
l	13796	5.6%
b	13535	5.4%
u	13516	5.4%
P	11111	4.5%
Other values (12)	52631	21.2%

Common

Value	Count	Frequency (%)
_	11111	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	259612	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	27070	10.4%
i	24951	9.6%
t	24646	9.5%
a	22502	8.7%
n	22502	8.7%
r	22241	8.6%
l	13796	5.3%
b	13535	5.2%
u	13516	5.2%
P	11111	4.3%
Other values (13)	63742	24.6%

Auto

Heatmap
Table

	id	Age	Height	Weight	FCVC	NCP	CH2O	FAF	TUE	Gender	family_history_with_overweight	FAVC	CAEC	SMOKE	SCC	CALC	MTRANS
id	1.000	-0.006	-0.009	-0.009	0.010	-0.004	0.007	-0.001	0.003	0.000	0.000	0.019	0.000	0.000	0.000	0.008	0.000
Age	-0.006	1.000	0.000	0.442	0.103	-0.121	0.087	-0.268	-0.316	0.240	0.305	0.139	0.155	0.125	0.126	0.168	0.373
Height	-0.009	0.000	1.000	0.412	-0.130	0.107	0.181	0.316	0.071	0.650	0.290	0.160	0.127	0.129	0.123	0.096	0.080
Weight	-0.009	0.442	0.412	1.000	0.216	-0.027	0.336	-0.076	-0.092	0.509	0.588	0.234	0.314	0.075	0.203	0.239	0.164
FCVC	0.010	0.103	-0.130	0.216	1.000	0.117	0.101	-0.114	-0.116	0.396	0.124	0.096	0.087	0.022	0.038	0.142	0.096
NCP	-0.004	-0.121	0.107	-0.027	0.117	1.000	0.103	0.099	0.134	0.153	0.190	0.059	0.163	0.000	0.026	0.110	0.059
CH2O	0.007	0.087	0.181	0.336	0.101	0.103	1.000	0.044	0.007	0.343	0.263	0.171	0.159	0.050	0.075	0.149	0.103
FAF	-0.001	-0.268	0.316	-0.076	-0.114	0.099	0.044	1.000	-0.003	0.365	0.181	0.140	0.114	0.033	0.057	0.129	0.091
TUE	0.003	-0.316	0.071	-0.092	-0.116	0.134	0.007	-0.003	1.000	0.212	0.206	0.144	0.124	0.035	0.057	0.132	0.134
Gender	0.000	0.240	0.650	0.509	0.396	0.153	0.343	0.365	0.212	1.000	0.103	0.021	0.078	0.067	0.056	0.084	0.127
family_history_with_overweight	0.000	0.305	0.290	0.588	0.124	0.190	0.263	0.181	0.206	0.103	1.000	0.150	0.327	0.011	0.175	0.008	0.113
FAVC	0.019	0.139	0.160	0.234	0.096	0.059	0.171	0.140	0.144	0.021	0.150	1.000	0.138	0.021	0.104	0.109	0.104
CAEC	0.000	0.155	0.127	0.314	0.087	0.163	0.159	0.114	0.124	0.078	0.327	0.138	1.000	0.040	0.127	0.078	0.066
SMOKE	0.000	0.125	0.129	0.075	0.022	0.000	0.050	0.033	0.035	0.067	0.011	0.021	0.040	1.000	0.021	0.013	0.013
SCC	0.000	0.126	0.123	0.203	0.038	0.026	0.075	0.057	0.057	0.056	0.175	0.104	0.127	0.021	1.000	0.016	0.044
CALC	0.008	0.168	0.096	0.239	0.142	0.110	0.149	0.129	0.132	0.084	0.008	0.109	0.078	0.013	0.016	1.000	0.069
MTRANS	0.000	0.373	0.080	0.164	0.096	0.059	0.103	0.091	0.134	0.127	0.113	0.104	0.066	0.013	0.044	0.069	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS
0	20758	Male	26.899886	1.848294	120.644178	yes	yes	2.938616	3.000000	Sometimes	no	2.825629	no	0.855400	0.000000	Sometimes	Public_Transportation
1	20759	Female	21.000000	1.600000	66.000000	yes	yes	2.000000	1.000000	Sometimes	no	3.000000	no	1.000000	0.000000	Sometimes	Public_Transportation
2	20760	Female	26.000000	1.643355	111.600553	yes	yes	3.000000	3.000000	Sometimes	no	2.621877	no	0.000000	0.250502	Sometimes	Public_Transportation
3	20761	Male	20.979254	1.553127	103.669116	yes	yes	2.000000	2.977909	Sometimes	no	2.786417	no	0.094851	0.000000	Sometimes	Public_Transportation
4	20762	Female	26.000000	1.627396	104.835346	yes	yes	3.000000	3.000000	Sometimes	no	2.653531	no	0.000000	0.741069	Sometimes	Public_Transportation
5	20763	Male	19.799054	1.844751	59.605028	yes	yes	2.000000	4.000000	Sometimes	no	2.722063	no	2.000000	1.283673	no	Automobile
6	20764	Male	18.000000	1.728834	51.442293	yes	yes	1.202075	3.000000	Sometimes	no	1.087166	no	0.788585	1.000000	Sometimes	Public_Transportation
7	20765	Male	20.000000	1.810000	80.000000	yes	yes	2.000000	3.000000	Always	no	2.000000	no	3.000000	0.000000	no	Automobile
8	20766	Male	21.000000	1.700000	80.000000	yes	yes	2.000000	3.000000	Frequently	yes	2.000000	no	0.000000	2.000000	no	Public_Transportation
9	20767	Female	21.000000	1.560000	53.000000	no	yes	2.000000	3.000000	Sometimes	no	2.000000	no	0.000000	1.000000	Sometimes	Public_Transportation

	id	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS
13830	34588	Female	18.000000	1.620000	84.000000	yes	yes	2.000000	3.000000	Sometimes	no	3.000000	no	1.000000	0.000000	no	Public_Transportation
13831	34589	Female	26.000000	1.620000	56.000000	yes	yes	3.000000	3.000000	Sometimes	no	2.000000	no	0.000000	0.000000	no	Automobile
13832	34590	Female	21.680123	1.737056	132.262558	yes	yes	3.000000	3.000000	Sometimes	no	1.676975	no	1.537639	0.858059	Sometimes	Public_Transportation
13833	34591	Female	19.994543	1.681100	49.838965	no	no	3.000000	3.765526	Frequently	no	1.000000	no	1.995582	0.000000	Sometimes	Public_Transportation
13834	34592	Female	16.834813	1.535618	43.919835	yes	yes	2.882522	1.000000	Sometimes	no	2.434832	no	0.000000	1.191998	no	Public_Transportation
13835	34593	Male	23.327836	1.721384	78.030383	yes	no	2.813234	3.000000	Sometimes	no	1.000000	no	0.807076	0.778632	Sometimes	Public_Transportation
13836	34594	Female	29.000000	1.590000	62.000000	no	yes	3.000000	3.000000	Sometimes	no	2.000000	no	0.000000	0.000000	Sometimes	Public_Transportation
13837	34595	Female	22.935612	1.585547	44.376637	no	yes	3.000000	2.273740	Frequently	no	2.000000	no	1.949840	1.000000	Sometimes	Public_Transportation
13838	34596	Male	21.000000	1.620000	53.000000	yes	yes	2.000000	3.000000	Sometimes	no	2.000000	no	3.000000	2.000000	no	Public_Transportation
13839	34597	Male	26.490926	1.812259	120.980508	yes	yes	2.744994	3.000000	Sometimes	no	2.205977	no	1.304291	0.630866	Sometimes	Public_Transportation

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample